Abstract
The performance of inertia stage filter is an important factor affecting the quality of the flow field at the outlet of marine gas turbine air intake system, and also determines the power level of the ship to a certain extent. With low total pressure loss and high filtration efficiency as the common goal, the numerical simulation method of gas-liquid two phase flow combined with experimental design method are a-dopted to construct the response surface equations among total pressure loss, filtration efficiency and blade geometric parameters respectively in this paper, and a multi-objective non-dominated sorting genetic algorithmis used to optimize and design the parameters of inertia stage filter blades. The results show that the optimized inertia stage filter achieves higher filtration efficiency with less total pressure loss in the full speed range. At the speed of 2 m/s, the optimized total pressure loss is reduced by 16. 98% and the filtration efficiency is increased by 37.61%. At the speed of 7 m/s, the optimized total pressure loss is reduced by 16. 7%, and the filtration efficiency is increased by 20. 83%;in inertia stage filters, for high flow speed, longer blade with smaller spacing and lower slope should be selected; for low flow speed, shorter blade with larger spacing and higher slope should be used; the optimized filter blade structure not only reduces the separation in the leeward area of the blade to reduce the total pressure loss, but also increases the contact between liquid particles and the blade to improve the filtration efficiency, so as to improve the whole performance of filter.
| Translated title of the contribution | Optimal Design of Inertia Stage Filter Blade for Marine Gas Turbine Air Intake System |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 33-38 |
| Number of pages | 6 |
| Journal | Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power |
| Volume | 38 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Apr 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
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